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Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
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DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference
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DeepSeek-OCR 2: Visual Causal Flow
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Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
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mHC: Manifold-Constrained Hyper-Connections
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
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DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
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Inference-Time Scaling for Generalist Reward Modeling
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X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms
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DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
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Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
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DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
